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Optimize AI engine visibility.
Passed 17 of 22 test cases with the skill, and 12 of 22 without it.
and 4 more in the full report
5 fixed12 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.8-flash on 10/18/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our enterprise software company is losing share of voice in generative search summaries for key DevOps topics. We need a strategic 90-day roadmap delivered as a structured document that maps out prioritized content topics, recommended formatting patterns for answer engine selection, and clear authority trust signals we should incorporate to maximize our chances of being cited as a primary source.
| Checked | Without skill | With skill |
|---|---|---|
| Includes the required message stating that no brand profile was found and offering /digital-marketing-pro:brand-setup or proceeding with general best practices. | Missed | Passed |
The instructions your model reads when the skill loads.
Script location. If your host does not set
${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin'sscripts/folder, next toskills/. Run them with Python 3.10 or newer:python, orpython3wherepythonis not found (macOS, many Linux systems).
Activate this module when the user's request involves any of the following:
Trigger phrases: "AI visibility," "how does ChatGPT describe my brand," "Perplexity results," "AI Mode optimization," "AI Overview optimization," "answer engine," "generative engine," "LLM optimization," "AI citations," "entity consistency," "Knowledge Graph"
Google AI Mode (May 2026 — treat as a distinct surface): At Google I/O on 19 May 2026 AI Mode became the default search experience for opted-in users, crossed ~1B MAUs, and switched to Gemini 3.5 Flash as the base model. AI Mode is not the same as AI Overviews — it is a separate conversational tab with deeper reasoning, multi-turn follow-ups, and a citation pattern that frequently diverges from AI Overviews for the same query. Brands must audit AI Mode independently. Practical implication: an AEO program that only tests AI Overviews + ChatGPT + Perplexity now has a measurable blind spot.
Additional I/O 2026 announcements that change AEO scope (source: blog.google/products-and-platforms/products/search/search-io-2026):
Official Google guidance on AI search optimization (updated 15 May 2026 — Google AI Optimization Guide):
llms.txt file is needed. Google's official position: "You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in generative AI search." Do not waste time generating llms.txt for Google AI Features. (Other AI search engines may or may not consume it; current Anthropic / OpenAI / Perplexity public positions are also that they do not require it. Document any client pressure to ship llms.txt as a low-priority deliverable with no measurable upside.)Opt-out and AI training controls (Google AI Features doc):
nosnippet, data-nosnippet, max-snippet, noindex. Robots.txt for Googlebot is the canonical control. There is no AI-specific robots/meta directive./digital-marketing-pro:gsc-ai-performance for the decision framework on when to use it.EU AI Act Article 50 (applicable 2 August 2026) — for AI-generated marketing content surfaced in EU markets, see skills/context-engine/eu-code-of-practice.md for the voluntary Code of Practice (WG1 providers / WG2 deployers) and the C2PA c2pa.ai-disclosure assertion path. Compliance is plugin-level and applies to c2pa-metadata outputs.
test cases passed, vs 12 / 22 without
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